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Computational statistical physics

Lecture Notes, Guwahati SERC School

  • Book
  • © 2011

Overview

Editors:
  1. Sitangshu Bikas Santra
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  2. Purusattam Ray
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Part of the book series: Texts and Readings in Physical Sciences (TRiPS, volume 10)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Statistical Mechanics and Critical Phenomena: A Brief Overview

    • Sitangshu Bikas Santra, Purusattam Ray
    Pages 1-33

  3. Graphical Enumeration Techniques: Series Expansions and Animal Problems

    • Deepak Dhar
    Pages 35-54

  4. Graphical Enumeration Techniques: Application to Polymers

    • Sanjay Kumar
    Pages 55-66

  5. Classical Monte Carlo Simulation

    • Sitangshu Bikas Santra, Purusattam Ray
    Pages 67-121

  6. Kinetics of Phase Transitions: Numerical Techniques and Simulations

    • Sanjay Puri
    Pages 123-160

  7. Introduction to Molecular Dynamics Simulation

    • Hemant Kumar, Prabal K. Maiti
    Pages 161-197

  8. Applications of Molecular Dynamics Simulations

    • Subhankur Mitra, Samrath Lal Chaplot
    Pages 199-230

  9. The Conjugate Gradient Method for Unconstrained Minimization

    • Subir K. Sarkar
    Pages 231-249

  10. Optimization and Quantum Annealing

    • Anjan Kumar Chandra, Bikas K. Chakrabarti
    Pages 251-277

  11. Back Matter

    Pages 279-283
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About this book

The present book is an outcome of the SERC school on Computational Statistical Physics held at the Indian Institute of Technology, Guwahati, in December 2008.

Numerical experimentation has played an extremely important role in statistical physics in recent years. Lectures given at the School covered a large number of topics of current and continuing interest.

Based on lectures by active researchers in the field- Bikas Chakrabarti, S Chaplot, Deepak Dhar, Sanjay Kumar, Prabal Maiti, Sanjay Puri, Purusattam Ray, Sitangshu Santra and Subir Sarkar- the nine chapters comprising the book deal with topics that range from the fundamentals of the field, to problems and questions that are at the very forefront of current research.

This book aims to expose the graduate student to the basic as well as advanced techniques in computational statistical physics. Following a general introduction to statistical mechanics and critical phenomena, the various chapters cover Monte Carlo and molecular dynamics simulation methodology, along with a variety of applications. These include the study of coarsening phenomena and diffusion in zeolites.< /p>

In addition, graphical enumeration techniques are covered in detail with applications to percolation and polymer physics, and methods for optimisation are also discussed. Beginning graduate students and young researchers in the area of statistical physics will find the book useful. In addition, this will also be a valuable general reference for students and researchers in other areas of science and engineering.

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